Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?
Summary This paper investigates the causes for non-response and measurement errors in household panel surveys designed for assessing vulnerability to poverty in Thailand and Vietnam. Using data from surveys conducted in 2007 and 2008 we show that interview environment, timing, interviewer, and some...
| Publicado en: | World Development Vol. 71; pp. 25 - 36 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Jul2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=102102308&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 102102308 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0305750X WDV jtl: World Development issn: 0305750X maglogo: N pubinfo: dt: Jul2015 vid: 71 pid: 2410 pub: Elsevier B.V. artinfo: ui: 102102308 10.1016/j.worlddev.2013.11.008 ppf: 25 ppct: 11 formats: tig: atl: Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements? aug: au: Phung, T.D. Hardeweg, B. Praneetvatakul, S. Waibel, H. affil: Mekong Development Research Institute, Hanoi, Viet Nam Leibniz University Hannover, Germany Kasetsart University, Bangkok, Thailand su: Thailand Vietnam Respondents Household surveys Poverty research Nonresponse (Statistics) Response rates sug: subj: Respondents Household surveys Poverty research Thailand Vietnam Nonresponse (Statistics) Response rates keyword: household survey non-sampling error vulnerability to poverty household survey non-sampling error vulnerability to poverty ab: Summary This paper investigates the causes for non-response and measurement errors in household panel surveys designed for assessing vulnerability to poverty in Thailand and Vietnam. Using data from surveys conducted in 2007 and 2008 we show that interview environment, timing, interviewer, and some respondent characteristics significantly affect non-sampling errors. Investigating interviewer bias for household consumption we find no significant effect of interviewer variables, which suggests validity of the data collected. The paper maps out possibilities to reduce non-sampling errors such as observing suitable interview duration and timing and matching interviewer characteristics with those of respondents. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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